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Nicole M Herman-Mercer

Human factors that influence water availability in the Basin were discovered by reviewing hundreds of published literature items and articles from the literature following an extensive keyword search. The different factors were drawn from reviewing the literature, and datasets to support the factor were researched across open data catalogs and the world wide web. Data related to the Human Factors project water availability sectors of agriculture, industrial, municipal, and those related to ecosystem services, tourism, or other uses can be found here.
For the purposes of the Human Factors of Water Availability project the agricultural sector includes the USGS Water Use Program categories of Irrigation, Livestock, and Aquaculture. Data useful for better understanding water demand in the agricultural sector is provided here including Irrigation districts and irrigated land in the Upper Colorado River Basin. Irrigation price of water data is provided for Mesa County, a key agricultural county in the state of Colorado within the Upper Colorado River Basin (UCRB), as an example of data that impacts demand and supply of water in the agricultural sector. Crop land cover data was retrieved from the CropScape online data application, the R script used to process data...
This dataset includes data quality assurance information concerning the Relative Percent Difference (RPD) of laboratory duplicates. No laboratory duplicate information exists for 2010. The formula for calculating relative percent difference is: ABS(2*[(A-B)/(A+B)]). An RPD of less the 10% is considered acceptable.
Participatory mapping is a general term applied to activities that work with participants to gather and map spatial information to help communities learn, discuss, build consensus, and make decisions about their communities and associated resources (NOAA 2015). Here we used participatory mapping to document the locations of different species of berries and understand any social, ecological, or climatological reasons that these locations may be shifting. Mapping was accomplished using topographic basemaps of the villages and surrounding areas overlaid with mylar sheeting. The area surrounding the villages of Hooper Bay and Kotlik were represented with arrays of 1: 63,360 USGS quadrangle topographic maps (USGS, 2017)....
This dataset contains replicate samples collected in the field by community technicians. No field replicates were collected in 2012. Replicate constituents with differences less than 10 percent are considered acceptable.
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